It’s time to dilly, DALL-E
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You might have heard of 'Portrait of Edmond de Belamy' (2018), the very first work of art created using generative adversarial networks by Paris-based arts-collective Obvious. The name Belamy is a tribute to the father of GANs, Ian Goodfellow. In French, 'bel ami' means 'good friend,' aka 'Goodfellow,' and the inspiration behind our very own newsletter – The Belamy!
Portrait of Edmond de Belamy, from La Famille de Belamy (2018). (Source: Christie's Images Ltd. )
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Since then, machines are becoming more and more artistic and creative. Lately, you might have encountered bizarre images circulating on the internet like an astronaut riding a horse in space, teddy bears mixing sparkling chemicals as mad scientists, a bowl of soup that is a portal to another dimension, and whatnot?
Ironically, these images were not created by any human illustrator. Instead, it was generated by OpenAI's DALL-E 2, a new AI system that turns text commands into realistic images and art. The outcomes are surreal and too good to be true.
A year ago, OpenAI released its text-to-image generation model based on transformer architecture – DALL-E. The name of this model was inspired by surrealist Salvador Dali, and the robot from Walt Disney movie Wall-E.
Compared to the previous model, DALL-E 2 generates more realistic and accurate images with 4x greater resolution. Check out everything you need to know about DALL-E here. You can also register to try out DALL-E 2 here.
While some of you are still on the waiting list to experiment with DALL-E 2, here are some of the alternatives you should know. Click here to view the list.
Despite the advancements in how AI can generate realistic images and art, there are a few drawbacks like counting, compositionality, etc., as highlighted by senior tech writer Rachel Metz in a Twitter post.
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